Lecturer on a fee basis Data Science f/m/d
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Job posting

Lecturer on a fee basis Data Science f/m/d

To strengthen our School of Arts, Information and Media, we are currently looking for lecturers f/m/d on an honorary basis in the field of Natural Language Processing for the Applied Data Science and Artificial Intelligence course.

Your questions will be answered by:
Prof. Dr. Swati Chandna | Telefon +49 (0) 6221 6799-223
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Area of ​​responsibility:
Dozenten
Location:
München
Company:
SRH University
Type of employment:
Externe Honorartätigkeit
Career level:
Berufserfahrene

What you can look forward to:

  • University Environment | Dynamic and flexible teaching environment at a growing, international and future-oriented university
  • Teaching | Independent organization of teaching
  • Campus | Beautiful, easily accessible campus
  • Facilities | Modern classrooms and the latest technology

Your responsibilities:

  • Teach one or more modules in the area of Data Science (e.g., Machine Learning, Data Visualization, Python Programming, AI, Data Engineering, Statistics)
  • Develop or adapt existing course materials, including lecture slides, assignments, and assessments
  • Deliver weekly teaching sessions (90–180 min/week) during the semester
  • Supervise project work or student presentations (if included in the module)
  • Evaluate student performance and submit grades in line with university deadlines
  • Participate in brief coordination meetings with academic staff (as needed)
  • Conduct and publish research in NLP and collaborate on interdisciplinary projects
  • Support academic administration tasks, such as curriculum development, student mentoring, and accreditation processes
  • Engage with industry partners and contribute to third-party funded research projects

Your profile:

  • A Master's or Ph.D (or nearing completion) in Data Science, Computer Science, Business Analytics, or a related field
  • Practical experience in data science, analytics, or AI (industry or research)
  • Teaching experience at university level, preferably in English
  • Availability during the lecture period ([e.g., mid-October to mid-February])
Frau Johanna Rühle Personalsachbearbeiterin SRH Karriere
Any questions?
I'm happy to help.
Johanna Rühle
Personalsachbearbeiterin
Ludwig-Guttmann-Straße 6
69123 Heidelberg
We look forward to receiving your online application stating your earliest possible starting date and the reference number 14634:

SRH Hochschulen GmbH | HR Department | Johanna Rühle
Apply now
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